Correlation Between Ballard Power and GreenPower
Can any of the company-specific risk be diversified away by investing in both Ballard Power and GreenPower at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Ballard Power and GreenPower into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ballard Power Systems and GreenPower Motor, you can compare the effects of market volatilities on Ballard Power and GreenPower and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Ballard Power with a short position of GreenPower. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ballard Power and GreenPower.
Diversification Opportunities for Ballard Power and GreenPower
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ballard and GreenPower is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Ballard Power Systems and GreenPower Motor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GreenPower Motor and Ballard Power is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Ballard Power Systems are associated (or correlated) with GreenPower. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GreenPower Motor has no effect on the direction of Ballard Power i.e., Ballard Power and GreenPower go up and down completely randomly.
Pair Corralation between Ballard Power and GreenPower
Assuming the 90 days trading horizon Ballard Power Systems is expected to under-perform the GreenPower. But the stock apears to be less risky and, when comparing its historical volatility, Ballard Power Systems is 1.62 times less risky than GreenPower. The stock trades about -0.12 of its potential returns per unit of risk. The GreenPower Motor is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 108.00 in GreenPower Motor on December 31, 2024 and sell it today you would lose (39.00) from holding GreenPower Motor or give up 36.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ballard Power Systems vs. GreenPower Motor
Performance |
Timeline |
Ballard Power Systems |
GreenPower Motor |
Ballard Power and GreenPower Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ballard Power and GreenPower
The main advantage of trading using opposite Ballard Power and GreenPower positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ballard Power position performs unexpectedly, GreenPower can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in GreenPower will offset losses from the drop in GreenPower's long position.Ballard Power vs. Marimaca Copper Corp | Ballard Power vs. Champion Gaming Group | Ballard Power vs. Velox Energy Materials | Ballard Power vs. Magna Mining |
GreenPower vs. NFI Group | GreenPower vs. Docebo Inc | GreenPower vs. WELL Health Technologies | GreenPower vs. Dye Durham |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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